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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist (2026 Vision)

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the future of artificial intelligence at QuantumLeap Labs! We're seeking visionary AI Research Scientists to pioneer breakthrough technologies that will define 2026 and beyond. Join our elite team in San Francisco, where you'll collaborate with Nobel laureates and industry disruptors to develop next-generation AI systems.

Our state-of-the-art facility offers unparalleled resources, including quantum computing access and exclusive industry partnerships. This is your chance to work on projects that will literally change how humanity interacts with technology. We offer competitive equity packages, unlimited PTO, and a culture that celebrates intellectual curiosity.

Responsibilities

  • Lead cutting-edge research in generative AI and neural networks to solve 2026-era challenges
  • Develop novel algorithms for autonomous systems and human-computer interaction
  • Collaborate with quantum computing teams to hybridize classical and quantum AI approaches
  • Publish findings in top-tier journals (NeurIPS, ICML, Science) and present at global conferences
  • Mentor junior researchers and contribute to open-source AI frameworks
  • Translate theoretical breakthroughs into practical applications with product teams

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry research experience
  • Published record in top-tier AI/ML conferences (NeurIPS, ICML, CVPR)
  • Expertise in transformer architectures, diffusion models, and reinforcement learning
  • Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks
  • Demonstrated ability to lead complex research projects from conception to deployment
  • Strong background in ethics and responsible AI development practices

Required Skills

AI Research Machine Learning Deep Learning Python PyTorch Quantum Computing Neural Networks Generative AI Reinforcement Learning

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